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Article Navigation >  Journal of Radars  > 2016  >  5(6): 701-710
Zhang Jingjing, Hong Wen, Yin Qiang. Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix[J]. Journal of Radars, 2016, 5(6): 701-710. doi: 10.12000/JR16138
Citation: Zhang Jingjing, Hong Wen, Yin Qiang. Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix[J]. Journal of Radars, 2016, 5(6): 701-710. doi: 10.12000/JR16138
shu

Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix

DOI: 10.12000/JR16138 CSTR: 32380.14.JR16138
  • 1.

    (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)

  • 2.

    (National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China)

  • 3.

    (University of Chinese Academy of Sciences, Beijing 100049, China)

  • 4.

    (Beijing University of Chemical Technology, Beijing 10029, China)

Funds:

The National Natural Science Foundation ofChina (61430118)

  • Received Date: 2016-12-02
  • Rev Recd Date: 2016-12-20
  • Publish Date: 2016-12-28
    Abstract
  • Conventional distributed-target-based polarimetric calibration algorithms estimate polarimetric distortions by assuming that the measured spatially averaged covariance matrix takes a specific form.However, when the underlying surface contains targets that do not satisfy the assumptions employed by those algorithms, the averaged covariance matrix may deviate from the desired form.As a result, poor estimates of distortion parameters may yield.It is known that spherically truncated covariance matrix is robust to outliers.Thus, we introduce it to the polarimetric SAR calibration routine.Experiment results on the airborne SAR data confirm that this method can effectively reduce the uncertainty of distortion estimates, hence improve the robustness of the calibration.

     

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    • References(15)
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